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Chapter
Theoretical Analysis of Spike-Timing-Dependent Plasticity Learning with Memristive Devices
Several recent works, described in chapters of the present series, have shown that memristive devices can naturally emulate variations of the biological spike-timing-dependent plasticity (STDP) learning rule a...
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Chapter
AETHER: Self-Adaptive Networked Entities: Autonomous Computing Elements for Future Pervasive Applications and Technologies
The ÆTHER project has laid the foundation of a complete new framework for designing and programming computing resources that live in changing environments and need to re-configure their objectives in a dynami...
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Chapter and Conference Paper
A Self-reconfigurable FPGA-Based Platform for Prototy** Future Pervasive Systems
The progress in hardware technologies lead to the possibility to embed more and more computing power in portable, low-power and low-cost electronic systems. Currently almost any everyday device such as cell ph...
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Article
Open AccessAn Evaluation of Dynamic Partial Reconfiguration for Signal and Image Processing in Professional Electronics Applications
Signal and image processing applications require a lot of computing resources. For low-volume applications like in professional electronics applications, FPGA are used in combination with DSP and GPP in order ...
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Chapter and Conference Paper
Functional Model of Carbon Nanotube Programmable Resistors for Hybrid Nano/CMOS Circuit Design
Hybrid Nano (e.g. Nanotube and Nanowire) /CMOS circuits combine both the advantages of Nano-devices and CMOS technologies; they have thus become the most promising candidates to relax the intrinsic drawbacks o...
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Chapter and Conference Paper
Self-Adaptive Networked Entities for Building Pervasive Computing Architectures
This paper presents a framework for building and modeling a new-generation self-adaptive systems. The first part of the paper proposes an architecture of a self-adaptive networked entity that forms the basic e...
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Chapter
Computer Architectures for Nanotechnology: Towards Nanocomputing
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Chapter and Conference Paper
The Semi-Parallel Architectures of Neuro-Computers
A neurocomputer is a machine which is built to work along the principles of the dynamics of neuronal networks. Actually there exists two types of dynamical variables, the neuronal states and the network parame...
